activity
20192023
most citedTraining-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis

70 citations · 143 across the 15 of their papers we have counts for

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Showing 2022Show all

7 papers · 1 filter

cs.CV2022★ 3 cited

MetaCLUE: Towards Comprehensive Visual Metaphors Research

Arjun R. Akula, Brendan Driscoll, Pradyumna Narayana +9

Creativity is an indispensable part of human cognition and also an inherent part of how we make sense of the world. Metaphorical abstraction is fundamental in communicating creativ…

cs.CV2022★ 70 cited

Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis

Weixi Feng, Xuehai He, Tsu-Jui Fu +6

Large-scale diffusion models have achieved state-of-the-art results on text-to-image synthesis (T2I) tasks. Despite their ability to generate high-quality yet creative images, we o…

cs.CV2022★ 3 cited

CPL: Counterfactual Prompt Learning for Vision and Language Models

Xuehai He, Diji Yang, Weixi Feng +7

Prompt tuning is a new few-shot transfer learning technique that only tunes the learnable prompt for pre-trained vision and language models such as CLIP. However, existing prompt t…

cs.HC2022

Attention cannot be an Explanation

Arjun R Akula, Song-Chun Zhu

Attention based explanations (viz. saliency maps), by providing interpretability to black box models such as deep neural networks, are assumed to improve human trust and reliance i…

cs.CV2022★ 1 cited

Question Generation for Evaluating Cross-Dataset Shifts in Multi-modal Grounding

Arjun R. Akula

Visual question answering (VQA) is the multi-modal task of answering natural language questions about an input image. Through cross-dataset adaptation methods, it is possible to tr…

cs.CV2022

Discourse Analysis for Evaluating Coherence in Video Paragraph Captions

Arjun R Akula, Song-Chun Zhu

Video paragraph captioning is the task of automatically generating a coherent paragraph description of the actions in a video. Previous linguistic studies have demonstrated that co…

cs.HC2022

Effective Representation to Capture Collaboration Behaviors between Explainer and User

Arjun Akula, Song-Chun Zhu

An explainable AI (XAI) model aims to provide transparency (in the form of justification, explanation, etc) for its predictions or actions made by it. Recently, there has been a lo…